Data on cetacean occurrence collected during the project “Identification and initial assessment of cetacean groupings in coastal waters of the north-western Black Sea, Ukrainian sector” funded by ACCOBAMS 2016-2017

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、462 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

注意してください、これは、古いバージョンのデータセットです。  研究者はこの研究内容を以下のように引用する必要があります。:

Gol'din P, Gladilina E, Savenko O, Vishnyakova K, Ivanchikova J, Derkacheva T, Gulak B, Kriukova A, Polyanska K, Neprokin O (2017): Data on cetacean occurrence collected during the project “Identification and initial assessment of cetacean groupings in coastal waters of the north-western Black Sea, Ukrainian sector” funded by ACCOBAMS. v1. Ukrainian Scientific Centre of Ecology of the Sea (UkrSCES). Dataset/Occurrence. http://gp.sea.gov.ua:8082/ipt/resource?r=accobams_2016-2017&v=1.0

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Ukrainian Scientific Centre of Ecology of the Sea (UkrSCES)。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 24aa45a4-dc45-4138-98e0-513fbedb8344が割り当てられています。   Ocean Biodiversity Information System によって承認されたデータ パブリッシャーとして GBIF に登録されているUkrainian Scientific Centre of Ecology of the Sea (UkrSCES) が、このリソースをパブリッシュしました。

キーワード

Occurrence; Black Sea; cetaceans; Phocoena; Delphinus; Tursiops; Ukraine; Observation; photo identification; line-transect survey

連絡先

地理的範囲

This data set is focused on two coastal areas: (a) waters near the Dzharylgach (or Jarilgac in another transcription) Island, and particularly in the Dzharylgach Bay (b) waters near the Danube delta

生物分類学的範囲

説明がありません

時間的範囲

プロジェクトデータ

The project is conducted by the Ukrainian Scientific Center of Ecology of the Sea (UkrSCES) in Odessa, Ukraine, with the expert support of Schmalhausen Institute of Zoology of National Academy of Sciences of Ukraine. The UkrSCES is the main institution of the Ministry of Ecology and Natural Resources of Ukraine in the field of marine ecological research. The project is aimed to increase knowledge about population structure and local distribution of the Black Sea cetaceans, among which there are endangered Black Sea bottlenose dolphins and harbour porpoises and vulnerable common dolphins.

プロジェクトに携わる要員:

収集方法

The linear transect survey (LTS) were designed according to standard principles of distance sampling (Buckland, 2004; Buckland et al., 2001). The survey platform was the yacht 8.8 m long; two pairs of observers, equipped by binoculars (10x40 and 10x50), changed after 30 minutes, and a dedicated operator recorded the data. The survey was conducted under good weather conditions (sea state less than 2 points of the Beaufort scale, visibility more than 5 km, zero precipitation). Boat speed was on average 9.5 km/h, at maximum 11 km/h. The observer eye height was 2.5 m. Tracks and coordinates were recorded, using the GPS navigator Garmin eTrex 30. Protocols of effort and registrations were filled in during the surveys. Species, group size, distance and angle from the moving boat were recorded at each encounter. In addition, behaviour types were recorded: fast movement, normal movement, feeding, etc., as well as behaviour in relation to the boat: avoiding, attraction or neutral. Individual photo identification was conducted from small boats, with a dedicated person responsible for protocol and coordinate logging. Tracks and coordinates were recorded, using the GPS navigator Garmin eTrex 30. Protocols of effort and registrations were filled in during the surveys.

Method step description:

1. LTS (Linear transect surveys) The linear transect survey (LTS) was designed according to standard principles of distance sampling (Buckland, 2004; Buckland et al., 2001). Density and abundance, cluster (group) density were estimated by analytical tools based on detection probability functions for distance sampling (Buckland et al., 2001), using Distance 7.0 software (Thomas et al., 2010). Photo identification. The basis of the method is the principle of individual identification with natural labels on the body and on the dorsal fin in particular (Würsig and Jefferson, 1990; Wilson et al., 1999; Urian et al., 2015).

追加のメタデータ